IVGCVSW-2557 Ref Workload Implementation for Detection PostProcess

 * implementation of DetectionPostProcessQueueDescriptor validate
 * add Uint8ToFloat32Workload
 * add implementation of Detection PostProcess functionalities
 * add ref workload implemenentation for float and uint8
 * add layer support for Detection PostProcess in ref
 * unit tests

Change-Id: I650461f49edbb3c533d68ef8700377af51bc3592

1 files changed, 48 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp b/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp
new file mode 100644
index 0000000000..ddab046f9c
--- /dev/null
+++ b/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefDetectionPostProcessFloat32Workload.hpp"
+
+#include "DetectionPostProcess.hpp"
+#include "Profiling.hpp"
+#include "RefWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+RefDetectionPostProcessFloat32Workload::RefDetectionPostProcessFloat32Workload(
+        const DetectionPostProcessQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : Float32Workload<DetectionPostProcessQueueDescriptor>(descriptor, info),
+          m_Anchors(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Anchors))) {}
+
+void RefDetectionPostProcessFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDetectionPostProcessUint8Workload_Execute");
+
+    const TensorInfo& boxEncodingsInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    const TensorInfo& scoresInfo = GetTensorInfo(m_Data.m_Inputs[1]);
+    const TensorInfo& anchorsInfo = GetTensorInfo(m_Anchors.get());
+    const TensorInfo& detectionBoxesInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    const TensorInfo& detectionClassesInfo = GetTensorInfo(m_Data.m_Outputs[1]);
+    const TensorInfo& detectionScoresInfo = GetTensorInfo(m_Data.m_Outputs[2]);
+    const TensorInfo& numDetectionsInfo = GetTensorInfo(m_Data.m_Outputs[3]);
+
+    const float* boxEncodings = GetInputTensorDataFloat(0, m_Data);
+    const float* scores = GetInputTensorDataFloat(1, m_Data);
+    const float* anchors = m_Anchors->GetConstTensor<float>();
+
+    float* detectionBoxes = GetOutputTensorData<float>(0, m_Data);
+    float* detectionClasses = GetOutputTensorData<float>(1, m_Data);
+    float* detectionScores = GetOutputTensorData<float>(2, m_Data);
+    float* numDetections = GetOutputTensorData<float>(3, m_Data);
+
+    DetectionPostProcess(boxEncodingsInfo, scoresInfo, anchorsInfo,
+                         detectionBoxesInfo, detectionClassesInfo,
+                         detectionScoresInfo, numDetectionsInfo, m_Data.m_Parameters,
+                         boxEncodings, scores, anchors, detectionBoxes,
+                         detectionClasses, detectionScores, numDetections);
+}
+
+} //namespace armnn